Continuous heart rate variability monitoring—understanding patterns of stress and recovery and their relationship with self-reported burnout, resilience and well-being in doctors: a protocol for a sequential explanatory mixed-methods study
Continuous heart rate variability monitoring—understanding patterns of stress and recovery and their relationship with self-reported burnout, resilience and well-being in doctors: a protocol for a sequential explanatory mixed-methods study
Introduction: the medical profession is facing an unprecedented crisis. Reasons for this are complex and multifactorial; however, rising rates of burnout will undoubtedly contribute to problems with recruitment and retention. Chronic workplace stress, whereby there are insufficient resources available to meet the demands doctors face, is a contributor to burnout. There are a wide variety of available self-report measures for stress, with heart rate variability (HRV) shown to be a biomarker of stress and recovery in doctors. We aim to triangulate continuous HRV measurements with validated self-report measures and qualitative data to better understand the patterns of stress and recovery.
Methods and analysis: this study has a sequential explanatory mixed-methods design. Participants will be recruited from multiple sites within National Health Service (NHS) Grampian. Initially, participants will complete a suite of validated scales, including the Maslach Burnout Inventory for Medical Personnel, the Resilience Scale for Adults and the Interpersonal, Community, Occupational, Physical, Psychological (ICOPPE) well-being scale. Following this, participants will undertake seven consecutive days of ecological momentary assessment of real-time demands, resources and fatigue, alongside 7 days of continuous ambulatory assessment of HRV via Firstbeat Bodyguard 3 chest-worn monitors. Participants will be provided with a summary report following their study period. If 40 participants are recruited within the recruitment timeframe, multilevel modelling will be used to analyse data; otherwise, N-of-1 statistical techniques will be used. Following initial analysis of the quantitative data, participants of interest will be invited to take part in semistructured interviews, which will be thematically analysed and presented alongside the quantitative data.
Ethics and dissemination: this study was approved by the University of Aberdeen, School of Medicine, Medical Sciences and Nutrition ethics review board (ref. 3389193) and the NHS Grampian research and development team. Results will be disseminated in international peer-reviewed journals.
Trial registration number: NCT06721312.
Kane, Leia
bae9514f-ab25-4f68-9aaf-87c8202480bd
Ball, Derek
fc6ec9f0-c43e-4891-83ed-e23c3cee5757
Martin, Kathryn R.
75fa3478-4eb3-4f6c-802c-33efe44a8258
Powell, Daniel
e1e53a46-a37b-425b-ac15-e82f99033f46
8 June 2025
Kane, Leia
bae9514f-ab25-4f68-9aaf-87c8202480bd
Ball, Derek
fc6ec9f0-c43e-4891-83ed-e23c3cee5757
Martin, Kathryn R.
75fa3478-4eb3-4f6c-802c-33efe44a8258
Powell, Daniel
e1e53a46-a37b-425b-ac15-e82f99033f46
Kane, Leia, Ball, Derek, Martin, Kathryn R. and Powell, Daniel
(2025)
Continuous heart rate variability monitoring—understanding patterns of stress and recovery and their relationship with self-reported burnout, resilience and well-being in doctors: a protocol for a sequential explanatory mixed-methods study.
BMJ Open, 15, [e097849].
(doi:10.1136/bmjopen-2024-097849).
Abstract
Introduction: the medical profession is facing an unprecedented crisis. Reasons for this are complex and multifactorial; however, rising rates of burnout will undoubtedly contribute to problems with recruitment and retention. Chronic workplace stress, whereby there are insufficient resources available to meet the demands doctors face, is a contributor to burnout. There are a wide variety of available self-report measures for stress, with heart rate variability (HRV) shown to be a biomarker of stress and recovery in doctors. We aim to triangulate continuous HRV measurements with validated self-report measures and qualitative data to better understand the patterns of stress and recovery.
Methods and analysis: this study has a sequential explanatory mixed-methods design. Participants will be recruited from multiple sites within National Health Service (NHS) Grampian. Initially, participants will complete a suite of validated scales, including the Maslach Burnout Inventory for Medical Personnel, the Resilience Scale for Adults and the Interpersonal, Community, Occupational, Physical, Psychological (ICOPPE) well-being scale. Following this, participants will undertake seven consecutive days of ecological momentary assessment of real-time demands, resources and fatigue, alongside 7 days of continuous ambulatory assessment of HRV via Firstbeat Bodyguard 3 chest-worn monitors. Participants will be provided with a summary report following their study period. If 40 participants are recruited within the recruitment timeframe, multilevel modelling will be used to analyse data; otherwise, N-of-1 statistical techniques will be used. Following initial analysis of the quantitative data, participants of interest will be invited to take part in semistructured interviews, which will be thematically analysed and presented alongside the quantitative data.
Ethics and dissemination: this study was approved by the University of Aberdeen, School of Medicine, Medical Sciences and Nutrition ethics review board (ref. 3389193) and the NHS Grampian research and development team. Results will be disseminated in international peer-reviewed journals.
Trial registration number: NCT06721312.
Text
e097849.full
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Accepted/In Press date: 24 April 2025
e-pub ahead of print date: 8 June 2025
Published date: 8 June 2025
Identifiers
Local EPrints ID: 511454
URI: http://eprints.soton.ac.uk/id/eprint/511454
ISSN: 2044-6055
PURE UUID: df5d8814-c357-40fd-a338-f451a738955f
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Date deposited: 15 May 2026 16:32
Last modified: 16 May 2026 02:23
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Contributors
Author:
Leia Kane
Author:
Derek Ball
Author:
Kathryn R. Martin
Author:
Daniel Powell
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